In their study, the research team investigated methods that could help resolve these limitations. The research team explored how Raman spectroscopy and NIR spectroscopy can be applied for the rapid and non-destructive detection of pork adulteration in beef meatballs, which is an essential requirement for halal certification in Muslim-majority nations (1).
As part of their experimental procedure, the research team evaluated Raman spectroscopy and NIR spectroscopy as rapid screening tools by preparing various batches of meatballs containing 0%, 3%, 5%, 10%, 50%, and 100% pork (w/w) mixed with beef (1). The meatballs were scanned using Raman spectroscopy in backscattering mode and NIR spectroscopy in reflectance mode, both on intact samples and cross-sectioned (cut) forms (1). These modes mimic real-world conditions in which meatball samples could be analyzed without significant sample preparation.
The Raman spectra exhibited strong peaks at 1657 cm⁻¹, 1443 cm⁻¹, and 1299 cm⁻¹, linked to saturated and unsaturated fats, which are key components in identifying meat composition (1). Meanwhile, the dominant peaks in the NIR spectra at 1457 nm and 1934 nm corresponded to the O–H bonds of water (1). To classify samples based on adulteration levels, the researchers used partial least squares discriminant analysis (PLS-DA) to analyze the spectral fingerprints.
Ultimately, what the researchers discovered was that the cross-sectioned meatballs provided more stable and reliable data than intact ones for both techniques. Raman spectroscopy demonstrated classification accuracies ranging from 52.5% to 85%, whereas NIR spectroscopy showed slightly lower accuracies between 58.97% and 75% (1). Although both methods showed comparable performance, Raman spectroscopy was found to be more consistent and offered deeper insights into the molecular composition of the meat, particularly in identifying fat and protein-related spectral features (1).
One of the key findings in this study was that Raman spectroscopy had a more balanced ability to detect both adulterated and non-adulterated meatballs. Specifically, Raman spectroscopy tended to misclassify meatballs with low levels of adulteration (3–10%), whereas NIR spectroscopy more frequently misclassified samples that were entirely non-adulterated (1). This is a crucial consideration for halal certification, where high sensitivity and specificity are essential to protect consumers and ensure compliance among food producers (1).
In the conclusion of their article, the authors detail some of the challenges encountered in their study. For example, the interference of fluorescence in Raman spectroscopy readings led to weak Raman peaks and increased noise. The researchers suggested that using a higher excitation wavelength laser or fluorescence-suppressing Raman instruments could significantly enhance signal quality and model robustness (1). Looking ahead, the authors also recommend expanding sample sizes and exploring advanced Raman techniques to improve accuracy further.
References
- Iqbal, Z.; Afseth, N. K.; Postelmans, A.; et al. Detection and Quantification of Pork Adulteration in Beef Meatballs with Raman Spectroscopy and Near Infrared Spectroscopy. Spectrochimica Acta Part A: Mol. Biomol. Spectrosc. 2025, 337, 126069. DOI: 10.1016/j.saa.2025.126069
- Halal Foundation Editorial Team, Muslim Dietary Laws & Fasting Practices You Need to Know. American Halal Foundation. Available at: https://halalfoundation.org/muslim-dietary-laws-fasting-practices-you-need-to-know/ (accessed 2025-05-28).